kangar00
Kernel Approaches for Nonlinear Genetic Association Regression
Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).
- Version1.4.2
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- kangar00 citation info
- Last release05/09/2024
Team
Juliane Manitz
Benjamin Hofner
Show author detailsRolesAuthorStefanie Friedrichs
Show author detailsRolesAuthorPatricia Burger
Show author detailsRolesAuthorNgoc Thuy Ha
Show author detailsRolesAuthorSaskia Freytag
Show author detailsRolesContributorHeike Bickeboeller
Show author detailsRolesContributor
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- Depends1 package
- Imports7 packages
- Suggests3 packages
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